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Model comparison

Gemini 3 Flash vs GPT-5.4 mini

Updated July 30, 2026. Public scores include evidence status and uncertainty. They are not guarantees for a specific workload.

Gemini 3 Flash

Google

59.6/100

Supported · Public rank #54

90% interval 40.8–78.3

GPT-5.4 mini

OpenAI

55.8/100

Estimated · Public rank #81

90% interval 44.3–67.3

Gemini 3 Flash has the higher public score estimate, 59.58 versus 55.79, but the 90% score intervals overlap. Treat that as a lead, not a settled winner.

3 results are shared. Category rows based on different benchmark sets are marked directional and do not name a winner.

Which one for your work

Recommendations appear only when a shared evidence basis or an explicit operating constraint supports the call. Secondary and unsupported use cases stay disclosed below the initial list.

  • Long documents

    Prompts that approach the documented context limit

    Gemini 3 Flash

    Gemini 3 Flash has the larger documented context window.

    Confidence: documented

  • Chat turn cost

    1K fresh input + 500 output tokens

    Gemini 3 Flash

    Gemini 3 Flash has the lower estimated token cost for this stated workload. Costs use the listed standard API rates.

    Confidence: listed-rates

  • Cache-heavy agent loop cost

    200K cached + 20K fresh input + 10K output tokens

    Gemini 3 Flash

    Gemini 3 Flash has the lower estimated token cost for this stated workload. Costs use the listed standard API rates.

    Confidence: listed-rates

Show secondary and unsupported calls

  • Repository review cost

    50K fresh input + 3K output tokens

    Gemini 3 Flash

    Gemini 3 Flash has the lower estimated token cost for this stated workload. Costs use the listed standard API rates.

    Confidence: listed-rates

  • Coding work

    Code generation, repair, and software-engineering tasks

    Not enough matched evidence

    No shared weighted benchmark basis supports a winner.

    Confidence: limited

  • Agentic work

    Tool use, computer use, and multi-step task completion

    Not enough matched evidence

    No shared weighted benchmark basis supports a winner.

    Confidence: limited

What is actually comparable

Shared results can support a head-to-head reading. Results present for only one model describe coverage, not superiority.

Shared results
3
Gemini 3 Flash only
3
GPT-5.4 mini only
11
Like-for-like categories
1 / 8

Category results, on a stated basis

Each row states whether both averages use the same weighted benchmark set. Directional and not-comparable rows remain visible, but they never receive a winner in this template.

Math

Like-for-like
Gemini 3 Flash
27.8
GPT-5.4 mini
21.7
Weighted basis
2 vs 2 rows
Reading
Gemini 3 Flash leads

Agentic

Not comparable
Gemini 3 Flash
Not measured
GPT-5.4 mini
65.7
Weighted basis
0 vs 2 rows
Reading
Not comparable

Coding

Not comparable
Gemini 3 Flash
Not measured
GPT-5.4 mini
Not measured
Weighted basis
0 vs 0 rows
Reading
Not comparable

Reasoning

Not comparable
Gemini 3 Flash
Not measured
GPT-5.4 mini
Not measured
Weighted basis
0 vs 0 rows
Reading
Not comparable

Knowledge

Not comparable
Gemini 3 Flash
Not measured
GPT-5.4 mini
47.8
Weighted basis
0 vs 2 rows
Reading
Not comparable

Multilingual

Not comparable
Gemini 3 Flash
Not measured
GPT-5.4 mini
Not measured
Weighted basis
0 vs 0 rows
Reading
Not comparable

Multimodal

Not comparable
Gemini 3 Flash
Not measured
GPT-5.4 mini
76.6
Weighted basis
0 vs 1 rows
Reading
Not comparable

Instruction following

Not comparable
Gemini 3 Flash
Not measured
GPT-5.4 mini
Not measured
Weighted basis
0 vs 0 rows
Reading
Not comparable

Shape of the matched evidence

Only shared public evidence is shown. Sparse evidence stays a ruled list rather than being closed into a radar shape.

Too few matched category axes support a radar. The ruled list below shows only shared benchmark results; positions use each benchmark’s normalized display scale when available.

  • FrontierMath v2 (Tiers 1-3)

    Math

    Gemini 3 Flash: 35.640%GPT-5.4 mini: 28.280%Normalized gap 7.4Shared source

  • FrontierMath v2 (Tier 4)

    Math

    Gemini 3 Flash: 4.167%GPT-5.4 mini: 2.080%Normalized gap 2.1Shared source

What each workload costs

Three fixed token mixes turn per-token rates into comparable decisions. Each scenario states context fit and whether cached input had to fall back to the published list-input rate.

Chat turn

1K fresh input + 500 output tokens

Gemini 3 Flash
$0.002
Fits in one request
GPT-5.4 mini
$0.003
Fits in one request

Gemini 3 Flash has the lower modeled cost

Costs use the listed standard API rates.

Repository review

50K fresh input + 3K output tokens

Gemini 3 Flash
$0.034
Fits in one request
GPT-5.4 mini
$0.051
Fits in one request

Gemini 3 Flash has the lower modeled cost

Costs use the listed standard API rates.

Cache-heavy agent loop

200K cached + 20K fresh input + 10K output tokens

Gemini 3 Flash
$0.05
Fits in one request
GPT-5.4 mini
$0.075
Fits in one request

Gemini 3 Flash has the lower modeled cost

Costs use the listed standard API rates.

Specification differences

Sourced differences are shown directly. Missing facts stay explicit instead of being inferred from a model name or family.

Cached-input rate

A missing cached-input rate falls back to the listed input rate only in the stated workload estimate.

Gemini 3 Flash

$0.05 per 1M cached input tokens

Google Gemini API pricing

GPT-5.4 mini

$0.075 per 1M cached input tokens

OpenAI pricing

Provider availability

Gemini 3 Flash

Not sourced

GPT-5.4 mini

Generally Available · OpenAI Responses API

OpenAI model catalog

Reasoning profile

Gemini 3 Flash

Non-Reasoning

GPT-5.4 mini

Reasoning

Weight access

Gemini 3 Flash

Proprietary

GPT-5.4 mini

Proprietary

License

Gemini 3 Flash

Proprietary

GPT-5.4 mini

Proprietary

Release date

Gemini 3 Flash

2025-12-01

GPT-5.4 mini

2026-03-17

If you already use one of these models
Deployment change
The models list different providers, so authentication, endpoint behavior, limits, and feature support may change.
Quality signal
Gemini 3 Flash has the higher public score estimate, 59.58 versus 55.79, but the 90% score intervals overlap.
Workload cost
Repository review: $0.034 vs $0.051. Cache-heavy agent loop: $0.05 vs $0.075.
Context tradeoff
Gemini 3 Flash has the larger documented window (1M).

Run the same representative tasks against both endpoints before changing production traffic.

Benchmark evidence

The full public result ledger is available for audit without forcing a wide desktop table onto a phone.

Browse raw public benchmark evidence17 rows

Agentic

  • Claw-Eval

    Gemini 3 Flash49.2%
    Source
    GPT-5.4 mini—

    Not directly comparable

  • Gert Labs

    Gemini 3 Flash56.63%
    Source
    GPT-5.4 mini—

    Not directly comparable

  • JobBench

    Gemini 3 Flash11.4%
    Source
    GPT-5.4 mini—

    Not directly comparable

  • Terminal-Bench 2.0

    Gemini 3 Flash—
    GPT-5.4 mini60%
    Source

    Not directly comparable

  • OSWorld-Verified

    Gemini 3 Flash—
    GPT-5.4 mini72.1%
    Source

    Not directly comparable

  • MCP Atlas

    Gemini 3 Flash—
    GPT-5.4 mini57.7%
    Source

    Not directly comparable

  • Toolathlon

    Gemini 3 Flash—
    GPT-5.4 mini42.9%
    Source

    Not directly comparable

  • τ²-bench results

    Gemini 3 Flash—
    GPT-5.4 mini93.4%
    Source

    Not directly comparable

Coding

  • Vibe Code Bench

    Shared source
    Gemini 3 Flash20.20%
    GPT-5.4 mini47.97%

    GPT-5.4 mini leads this result

  • FrontierCode 1.1 Main

    Gemini 3 Flash—
    GPT-5.4 mini27.0%
    Source

    Not directly comparable

Knowledge

  • GPQA

    Gemini 3 Flash—
    GPT-5.4 mini88%
    Source

    Not directly comparable

  • HLE

    Gemini 3 Flash—
    GPT-5.4 mini41.5%
    Source

    Not directly comparable

  • HLE w/o tools

    Gemini 3 Flash—
    GPT-5.4 mini28.2%
    Source

    Not directly comparable

Math

  • FrontierMath v2 (Tiers 1-3)

    Shared source
    Gemini 3 Flash35.640%
    GPT-5.4 mini28.280%

    Gemini 3 Flash leads this result

  • FrontierMath v2 (Tier 4)

    Shared source
    Gemini 3 Flash4.167%
    GPT-5.4 mini2.080%

    Gemini 3 Flash leads this result

Multimodal

  • MMMU-Pro

    Gemini 3 Flash—
    GPT-5.4 mini76.6%
    Source

    Not directly comparable

  • MMMU-Pro w/ Python

    Gemini 3 Flash—
    GPT-5.4 mini78%
    Source

    Not directly comparable

Frequently asked questions

Which is better, Gemini 3 Flash or GPT-5.4 mini?

Gemini 3 Flash has the higher public score estimate, 59.58 versus 55.79, but the 90% score intervals overlap. The higher estimate is not a decisive winner because the uncertainty ranges overlap.

Which is better for coding, Gemini 3 Flash or GPT-5.4 mini?

The published evidence does not provide a shared weighted coding basis for both models, so BenchLM does not name a coding winner.

Which is better for agentic tasks, Gemini 3 Flash or GPT-5.4 mini?

The published evidence does not provide a shared weighted agentic tasks basis for both models, so BenchLM does not name a agentic tasks winner.

Which costs less, Gemini 3 Flash or GPT-5.4 mini?

For the stated presets, chat costs $0.002 on Gemini 3 Flash and $0.003 on GPT-5.4 mini; repository review costs $0.034 and $0.051; the cache-heavy agent loop costs $0.05 and $0.075. Costs use the listed standard API rates.

Which has the larger context window, Gemini 3 Flash or GPT-5.4 mini?

Gemini 3 Flash has the larger documented context window: 1M, compared with 400K.

Related comparisons

Compare API pricing Read the methodology Open the model selector

Last updated July 30, 2026

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